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Volumn 25, Issue 2, 2009, Pages 272-273

Programs for calculating the statistical powers of detecting susceptibility genes in case-control studies based on multistage designs

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CASE CONTROL STUDY; COMPUTER AIDED DESIGN; COMPUTER MODEL; COMPUTER PROGRAM; COMPUTER SIMULATION; CONTROLLED STUDY; FALSE POSITIVE RESULT; GENE FREQUENCY; GENE LOCUS; GENETIC ALGORITHM; GENETIC IDENTIFICATION; GENETIC RISK; GENETIC SUSCEPTIBILITY; LANGUAGE; MATHEMATICAL ANALYSIS; PREDICTION; PRIORITY JOURNAL; SINGLE NUCLEOTIDE POLYMORPHISM;

EID: 58349083286     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btn616     Document Type: Article
Times cited : (3)

References (6)
  • 2
    • 0001341675 scopus 로고
    • Numerical computation of multivariate normal probabilities
    • Genz,A. (1992) Numerical computation of multivariate normal probabilities. J. Comput. Graph. Stat., 1, 141-150.
    • (1992) J. Comput. Graph. Stat , vol.1 , pp. 141-150
    • Genz, A.1
  • 3
    • 35748938784 scopus 로고    scopus 로고
    • Agenome-wide association study for blood lipid phenotypes in the Framingham Heart Study
    • last accessed on December 7, 2008
    • Kathiresan,S. et al. (2007) Agenome-wide association study for blood lipid phenotypes in the Framingham Heart Study. BMC Med. Genet. 8, http://www.biomedcentral.com/1471-2350/8/S1/S17 (last accessed on December 7, 2008).
    • (2007) BMC Med. Genet , vol.8
    • Kathiresan, S.1
  • 4
    • 33745453811 scopus 로고    scopus 로고
    • Aspects of the design and analysis of high-dimensional SNP studies for disease risk estimation
    • Prentice,R.L. and Lihong,Qi. (2006) Aspects of the design and analysis of high-dimensional SNP studies for disease risk estimation. Biostatistics, 7, 339-654.
    • (2006) Biostatistics , vol.7 , pp. 339-654
    • Prentice, R.L.1    Lihong, Q.2
  • 5
    • 0036188784 scopus 로고    scopus 로고
    • Two-stage designs for gene-disease association studies
    • Satagopan,J.M. et al. (2002) Two-stage designs for gene-disease association studies. Biometrics, 58, 163-170.
    • (2002) Biometrics , vol.58 , pp. 163-170
    • Satagopan, J.M.1
  • 6
    • 31744435871 scopus 로고    scopus 로고
    • Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studies
    • Skol,A.D. et al. (2006) Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studies. Nat. Genet., 38, 209-213.
    • (2006) Nat. Genet , vol.38 , pp. 209-213
    • Skol, A.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.